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» How optimal is the genetic code
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104
Voted
GECCO
2007
Springer
209views Optimization» more  GECCO 2007»
15 years 4 months ago
Hardware acceleration of multi-deme genetic algorithm for the application of DNA codeword searching
A large and reliable DNA codeword library is key to the success of DNA based computing. Searching for sets of reliable DNA codewords is an NP-hard problem, which can take days on ...
Qinru Qiu, Daniel J. Burns, Prakash Mukre, Qing Wu
GECCO
1999
Springer
148views Optimization» more  GECCO 1999»
15 years 5 months ago
An Analysis of Automatic Subroutine Discovery in Genetic Programming
This paper analyses Rosca's ARL as a general framework for automatic subroutine discovery. We review and compare a number of heuristics for code selection, and experimentally...
Antonello Dessi, Antonella Giani, Antonina Starita
GECCO
2008
Springer
103views Optimization» more  GECCO 2008»
15 years 1 months ago
How generative encodings fare on less regular problems
Generative representations allow the reuse of code and thus facilitate the evolution of repeated phenotypic themes or modules. It has been shown that generative representations pe...
Jeff Clune, Charles Ofria, Robert T. Pennock
116
Voted
GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
15 years 1 months ago
Rank based variation operators for genetic algorithms
We show how and why using genetic operators that are applied with probabilities that depend on the fitness rank of a genotype or phenotype offers a robust alternative to the Sim...
Jorge Cervantes, Christopher R. Stephens
GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
15 years 5 months ago
Initialization parameter sweep in ATHENA: optimizing neural networks for detecting gene-gene interactions in the presence of sma
Recent advances in genotyping technology have led to the generation of an enormous quantity of genetic data. Traditional methods of statistical analysis have proved insufficient i...
Emily Rose Holzinger, Carrie C. Buchanan, Scott M....